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QwQ R1984 32B H Novel by cs2764

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QwQ R1984 32B H Novel is an open-source language model by cs2764. Features: 32b LLM, VRAM: 65.8GB, Context: 128K, LLM Explorer Score: 0.18.

  Qwen2   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/cs2764/QwQ-R1984-32B-h-novel 

QwQ R1984 32B H Novel Benchmarks

LLME Score: 0.18344
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
QwQ R1984 32B H Novel (cs2764/QwQ-R1984-32B-h-novel)
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QwQ R1984 32B H Novel Parameters and Internals

LLM NameQwQ R1984 32B H Novel
Repository 🤗https://huggingface.co/cs2764/QwQ-R1984-32B-h-novel 
Model Size32b
Required VRAM65.8 GB
Updated2025-04-18
Maintainercs2764
Model Typeqwen2
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
Model ArchitectureQwen2ForCausalLM
Context Length131072
Model Max Length131072
Transformers Version4.50.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

Best Alternatives to QwQ R1984 32B H Novel

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Context / RAM
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Openbuddy Qwq 32B V24.1 200K195K / 65.8 GB153
Openbuddy Qwq 32B V24.2 200K195K / 65.8 GB93
Openbuddy Qwq 32B V25.2q 200K195K / 65.8 GB24
...y Qwen2.5coder 32B V24.1q 200K195K / 65.8 GB12
DeepSeek R1 Distill Qwen 32B128K / 65.7 GB6703311561
Qwen2.5 32B128K / 65.5 GB162819175
RomboUltima 32B128K / 20.7 GB256
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB6417
Ultiima 32B128K / 65.8 GB187
...wen2.5 32B Inst BaseMerge TIES128K / 65.8 GB344
Note: green Score (e.g. "73.2") means that the model is better than cs2764/QwQ-R1984-32B-h-novel.

Rank the QwQ R1984 32B H Novel Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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